A simplified model of dopaminergic neuron

a Simplified Model of Distributed Parameter Systems

A generalized simplified model for describing the dynamic behavior of distributed parameter systems is proposed. The various specific characteristics of gain and phase angle of distributed parameter systems are investigated from frequency response formulation and complex plane representation of the proposed simplified model. The complex plane investigation renders some important inequality cons...

A simplified neuron model as a principal component analyzer.

A simple linear neuron model with constrained Hebbian-type synaptic modification is analyzed and a new class of unconstrained learning rules is derived. It is shown that the model neuron tends to extract the principal component from a stationary input vector sequence.

CoDi-1Bit: A Simplified Cellular Automata Based Neuron Model

This paper presents some simpliications to our recently introduced \CoDi-model", which we use to evolve Cellular Automata based neural network modules for ATR's artiicial brain project \CAM-Brain" 11]. The great advantage of CAs as a modeling medium, is their paral-lelism, which permits neural system simulation hardware based on CoDi to be scaled up without loss of speed. Simulation speed is cr...

investigating the feasibility of a proposed model for geometric design of deployable arch structures

deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...

Exploring GABAergic and dopaminergic effects in a minimal model of a medium spiny projection neuron